Triple
T7824282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Deck |
E181206
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Roppongi area |
E72625
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Roppongi area | Statement: [Top Deck, offersViewOf, Roppongi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roppongi area Context triple: [Top Deck, offersViewOf, Roppongi area]
-
A.
Roppongi
chosen
Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
-
B.
Akasaka
Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
-
C.
Shinagawa Station area
The Shinagawa Station area is a major commercial and transportation hub in Tokyo, known for its busy Shinkansen-connected railway terminal, high-rise offices, hotels, and shopping facilities.
-
D.
Shibuya Fukuras area
Shibuya Fukuras area is a major mixed-use urban complex in Tokyo’s Shibuya district, featuring offices, retail, and public spaces as part of the broader Shibuya Station transformation.
-
E.
Shibuya
Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0abff08190b0245ceca5f20cae |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14aefd4881908ffa5825f4ba6eff |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:42 p.m.